code: def test_deterministic_numpy():
      """Test deterministic behavior of numpy"""
      deterministic.set_seed(22)
      rand_tensor = np.random.rand(5, 5)
      deterministic_tensor = np.array(
          [
              [
                  0.20846054,
                  0.48168106,
                  0.42053804,
                  0.859182,
                  0.17116155,
              ],
              [
                  0.33886396,
                  0.27053283,
                  0.69104135,
                  0.22040452,
                  0.81195092,
              ],
              [
                  0.01052687,
                  0.5612037,
                  0.81372619,
                  0.7451003,
                  0.18911136,
              ],
              [
                  0.00614087,
                  0.77204387,
                  0.95783217,
                  0.70193788,
                  0.29757827,
              ],
              [
                  0.76799274,
                  0.68821832,
                  0.38718348,
                  0.61520583,
                  0.42755524,
              ],
          ]
      )
      assert np.allclose(rand_tensor, deterministic_tensor)
  
file_path: garage/tests/garage/experiment/test_deterministic.py
imports: import random
  import numpy
  import tensorflow
  import torch
  from garage.experiment import deterministic
label_desc: Use image node_id 4 for calling a global function with example usage: test_deterministic_numpy() without return types